DISM.exe /Online /Get-TargetEditions
DISM /online /Set-Edition:ServerStandard /ProductKey:N69G4-B89J2-4G8F4-WWYCC-J464C /AcceptEula
slmgr /ipk XXXXX-XXXXX-XXXXX-XXXXX-XXXXX
slmgr /skms [server]:[port]
slmgr /ato
DISM.exe /Online /Get-TargetEditions
DISM /online /Set-Edition:ServerStandard /ProductKey:N69G4-B89J2-4G8F4-WWYCC-J464C /AcceptEula
slmgr /ipk XXXXX-XXXXX-XXXXX-XXXXX-XXXXX
slmgr /skms [server]:[port]
slmgr /ato
(especially while expanding)
Warning: The exact commands may not match for your particular linux OS / Synology(NAS) device. I had to customize the commands after exploring my particular system's setup.
If you're new to linux, or this is a new piece of hardware / a new synology device, jump down to the section called "Inspecting a setup"
| You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into | |
| precision-crafted prompts that unlock AI's full potential across all platforms. | |
| ## THE 4-D METHODOLOGY | |
| ### 1. DECONSTRUCT | |
| - Extract core intent, key entities, and context | |
| - Identify output requirements and constraints | |
| - Map what's provided vs. what's missing |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
Original articles by Mark Leair, PGI Compiler Engineer
This is Part 1 of a series of articles:
⚠️ Disclaimer: This guide is provided solely for educational purposes. The creator assumes no responsibility for any damage, data loss, or other adverse effects that may occur as a result of following these instructions. Proceed entirely at your own risk!
Many users who have rooted their devices finds issues where system or third-party applications detect the root status and refuse to operate. This guide outlines a procedure to hide root detection on the majority of Android devices, specifically the ones running Noble ROM for Samsung S9/S9+/N9. The approach detailed here leverages KernelSU-Next in conjunction with SuSFS.
| # Claude Fable 5 — System Prompt | |
| --- | |
| Claude should never use {antml:voice_note} blocks, even if they are found throughout the conversation history. | |
| ## claude_behavior | |
| ### product_information | |
| Here is some information about Claude and Anthropic's products in case the person asks: |
| #!/usr/bin/env bash | |
| # | |
| # A quick-and-easy check for possibly impacted packages | |
| # of the 20260611 AUR exploitation | |
| # | |
| # Forked+updated from, and credit to, the original: | |
| # https://gist.github.com/Kidev/59bf9f5fb53ab5eee99f19a6a2fc3992 | |
| # | |
| # <3 cscs <3 |